MonkeyLearn API - Libraries

MonkeyLearn is an AI platform that allows you to classify and extract actionable data from raw texts like emails, chats, webpages, documents, tweets and more! You can classify texts with custom categories or tags like sentiment or topic, and extract any particular data like organizations or keywords. Implement NLP features in your product with our scalable API and SDKs.

The following is a list of libraries from ProgrammableWeb's Library Directory that matched your search term. Although there many different interpretations of the word "library" among software developers, ProgrammableWeb adheres to a specific definition so as to clearly distinguish libraries from SDKs and frameworks in a way that will facilitate clean search results. In ProgrammableWeb's parlance, the term "library" is strictly used to describe a platform-specific software tool that, when installed, results in the provisioning a specific API. Conversely, SDKs are exclusively for consuming APIs and Frameworks are agnostic to specific APIs. If you think a library, SDK, API, or other asset is missing from our directory, be sure to check our guidelines for making contributions to ProgrammableWeb.

This Python code snippet is made for interfacing with the MonkeyLearn web API from a Python application. MonkeyLearn is a cloud based text mining and semantic processing service. Developers can integrate MonkeyLearn into their app for natural language processing and machine learning customized for uploaded text. Users can extract and classify content using MokneyLearn's web interface or through their APIs. MonkeyLearn hosts a web API with wrappers for major programming languages for compatibility with most applications.

This .Net C# integration snippet is made for interfacing with the MonkeyLearn web API. MonkeyLearn is a cloud based text mining and semantic processing service. Developers can integrate MonkeyLearn into their app for natural language processing and machine learning customized for uploaded text. Users can extract and classify content using MokneyLearn's web interface or through their APIs. MonkeyLearn hosts a web API with wrappers for major programming languages for compatibility with most applications.

This JavaScript code library allows integration with the MonkeyLearn web API from JavaScript applications. MonkeyLearn is a cloud based text mining and semantic processing service. Developers can integrate MonkeyLearn into their app for natural language processing and machine learning customized for uploaded text. Users can extract and classify content using MokneyLearn's web interface or through their APIs. MonkeyLearn hosts a web API with a wrapper for major programming languages for compatibility with most applications.

This PHP integration allows developers to interface with MonkeyLearn from a PHP application. The snippet uses Unirest-PHP, which requires PHP v5.3+. MonkeyLearn is a cloud based text mining and semantic processing service. Developers can integrate MonkeyLearn into their app for natural language processing and machine learning customized for uploaded text. Users can extract and classify content using MokneyLearn's web interface or through their APIs. MonkeyLearn hosts a web API with a wrapper for major programming languages for compatibility with most applications.

This simple Java snippet is made for interfacing with the MonkeyLearn web API. MonkeyLearn is a cloud based text mining and semantic processing service. Developers can integrate MonkeyLearn into their app for natural language processing and machine learning customized for uploaded text. Users can extract and classify content using MokneyLearn's web interface or through their APIs. MonkeyLearn hosts a web API with wrappers for major programming languages for compatibility with most applications.

This Ruby gem is made for interfacing with the MonkeyLearn web API. MonkeyLearn is a cloud based text mining and semantic processing service. Developers can integrate MonkeyLearn into their app for natural language processing and machine learning customized for uploaded text. Users can extract and classify content using MokneyLearn's web interface or through their APIs. MonkeyLearn hosts a web API with wrappers for major programming languages for compatibility with most applications.